SKU/Artículo: AMZ-B0FV1QQ7P7

Machine Learning Foundations: From Concepts to Real World Projects

Detalles del producto
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Fuera de stock
Peso con empaque:
0.76 kg
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Condición
Nuevo
Producto de:
Amazon
Viaja desde
USA

Sobre este producto
  • Machine learning doesn't have to be this crazy sounding mystery. Our book Machine Learning Foundations: From Concepts to Real-World Projects gets you started on the journey of machine learning with clear explanations and easy-to-understand theory, along with project examples that you can implement. Our book starts with the basic question, What is Machine Learning, where it shows up, and a brief intro to the math behind the process. We then move on to talking about supervised learning, what it is, key models, the applications, and a few project ideas. We continue the same process into the next 2 chapters: unsupervised learning and deep learning. The book also features a Machine Learning Tools and Libraries guide covering some of the basic Python commands and tools to get started. In addition to all this, we have also included our project Sign Speak, which was an affordable and accessible solution for the communication barrier between Sign Language and non-Sign Language Users.If you want to get started in the ever-evolving technology field, then this book is the right place to kick-start your journey!After reading this book, if you have any questions, you can contact us at [email protected]. Also, you can check out our projects on our GitHub: https://github.com/ML-concepts-toproject/Machine-Learning-Foundations-From-Concepts-to-Real-World-Projects.

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